Feng Guohui, Bi Yang, Zhang Yixian, Cai Yilin, Huang Kailiang
School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang, 110168, China.
School of Civil Engineering, Chongqing University, Chongqing, 400045, China.
Sustain Cities Soc. 2020 Mar;54:101935. doi: 10.1016/j.scs.2019.101935. Epub 2019 Dec 10.
Predicting influence of human thermal plume on the diffusion of respiration-produced particles is an important issue for improving indoor air quality through eliminating infectious microbes efficiently. In this study, the Large Eddy Simulation was utilized to predict the effects of thermal plume of different intensities on particle diffusion. Three postures of the human body model and three room temperatures were considered. The results show that the convective heat transfer coefficient on the surface of the human body varies greatly with different postures. The coefficient is the largest when the model is in sitting posture, leading to the greatest heat transfer rate. Meanwhile, the thermal plume generated by bending the thigh increases the size of the facial thermal plume in horizon direction. The increase of the difference between indoor temperature and skin temperature causes an increase of the convective heat transfer of the manikin, leading to stronger airflow in front of the face. The thicker and faster the human thermal plume is, the more difficult it is penetrated by aerosols produced by nasal breathing, finally resulting in most particles distributed within 0.2 m thick under the roof.
预测人体热羽流对呼吸产生的颗粒物扩散的影响,对于通过有效消除传染性微生物来改善室内空气质量而言是一个重要问题。在本研究中,利用大涡模拟来预测不同强度的热羽流对颗粒物扩散的影响。考虑了人体模型的三种姿势和三种室温。结果表明,人体表面的对流换热系数随姿势不同而有很大变化。当模型处于坐姿时该系数最大,导致传热速率最高。同时,弯曲大腿产生的热羽流会增加面部热羽流在水平方向的尺寸。室内温度与皮肤温度差值的增加会导致人体模型的对流换热增加,从而使面部前方的气流更强。人体热羽流越厚、速度越快,鼻呼吸产生的气溶胶就越难穿透,最终导致大多数颗粒分布在屋顶下方0.2米厚的范围内。